Part II - Ford GoBike System Dataset

by Saoban Lateefat

Investigation Overview

In this analysis, I looked into :
What gender rides the bikes the most
The average duration of each rides
Age range of people who takes the ride
The hour of the day people takes rides the most . and so on..

Dataset Overview

The dataset consists of 183412 rows and 16 columns of different datatypes.

Trip per User type, Gender and Age

-- There are more of people who are subscribers to customers
-- We have more males to female
-- We have younger people who board bikes to older people

Trips per weekday and hour of the day

-- We have higher trips on weekdays to weekends
-- Most ofthe trip is made around 5pm and 8am and we deduce this is due to rush hours.